AIMC Journal:
bioRxiv

Showing 481 to 490 of 4935 articles

When are Biomedical Postdocs Ready for the Faculty Job Market? A Mixed-Methods Analysis of Metrics and Resilience Among Faculty Job Seekers

bioRxiv
Purpose Discussions surrounding the biomedical faculty job market often focus on applicant competitiveness and external metrics such as number of publications and funding records. Consequently, there is typically less discussion about applicant readi...

FluoroFate: A generalisable platform for time-resolved single-cell analysis of cell fate enables quantification of cell death dynamics

bioRxiv
Fundamental cellular decisions of life and death are governed by intricate and tightly regulated intracellular signalling pathways that determine whether cells proliferate, enter quiescence, or undergo programmed cell death (apoptosis). Live-cell flu...

Port of Protein-Protein Interactomes: An experiment-based protein-protein interactome database for rice

bioRxiv
Protein protein interactions (PPIs) play a crucial role in enabling proteins to carry out their functions within various biological processes. Rice, as a key model organism in plant biological studies, has been at the forefront of PPI research. Howev...

Phenotype-associated spatial biomarker discovery in spatial transcriptomics with spHOT

bioRxiv
Spatial transcriptomics now profiles patient cohorts at single-cell resolution, enabling analysis of disease-associated cell organization in situ. However, discovering such spatial biomarkers remains challenging because relevant structures occur at u...

Analysis of gut bacterial communities leveraging AI methods unveils novel relations between species in Alzheimer's disease

bioRxiv
The gut microbiome has been increasingly implicated in Alzheimers disease (AD), with studies reporting numerous species- and genus-level differences. These findings established a growing catalog of AD-associated taxa, yet they typically evaluate taxa...

PINT: Pathway-pathway interactions for predicting interpretable clinical outcomes from gene expression

bioRxiv
Motivation: Disease mechanisms emerge from the coordinated activity of multiple biological pathways, rather than from individual pathways acting in isolation. Existing pathway-based deep learning models, however, treat pathways as independent entitie...

A Comprehensive Benchmark of EEG-Based BCI Deep Learning Models for MCI and Dementia Classification

bioRxiv
Electroencephalography (EEG) is a promising tool for automated detection of mild cognitive impairment (MCI) and dementia, but comparisons across studies are limited by inconsistent datasets and evaluation protocols. This study benchmarks ten deep lea...

Low-dimensional factorized neural computations underlie risk-adaptive choices

bioRxiv
Real-world decision-making rarely occurs with perfect information. Instead, individuals must constantly weigh potential rewards against the probability of adverse outcomes.1 Failures of this process can lead to maladaptive decisions associated with r...

Multi-cohort analysis of 37,739 oral microbiomes reveals ecologically influential health-associated microbial sub-communities across major oral subsites

bioRxiv
The oral cavity contains multiple microbial sub-niches, but which taxa consistently play an ecologically important, health-associated role within each niche, and how conserved they are across populations, remains poorly understood, partly due to the ...

AFilter: Improved Antibody Epitope Prediction by Machine Learning-Optimized Interface Energy Filtering of AlphaFold3-Predicted Complex

bioRxiv
AlphaFold3 (AF3) predicts protein-complex structures from sequence with near-experimental accuracy on many targets, substantially lowering the cost of mechanistic and therapeutic discovery. However, application to antibody epitope prediction is hampe...